scholarly journals Optimal Coordination of Wind Power and Pumped Hydro Energy Storage

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4387 ◽  
Author(s):  
Hussein M. K. Al-Masri ◽  
Ayman Al-Quraan ◽  
Ahmad AbuElrub ◽  
Mehrdad Ehsani
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Carbon Dioxide Emissions ◽  
Optimal Solution ◽  
Pattern Search ◽  
Cost Of Energy ◽  
Efficient Alternative ◽  
Optimal Coordination ◽  
Utility Grid ◽  
The Cost

A study combining wind power with pumped hydro energy storage for the Jordanian utility grid is presented. Three solvers of the Matlab optimization toolbox are used to find the optimal solution for the cost of energy in a combined on-grid system. Genetic algorithm, simulated annealing (SA), and pattern search (PS) solvers are used to find the optimal solution. The GA solution of 0.0955388 $/kWh is economically feasible. This is 28.7% lower than the electricity purchased from the conventional utility grid. The discounted payback period to recover the total cost is 10.271 years. The suggested configuration is shown to be feasible by comparing it to real measurements for this case and a previous wind-only case. It is shown that the indicators of the optimal solution are improved. For instance, carbon dioxide emissions (ECO2) and conventional grid energy purchases are reduced by 24.69% and 24.68%, respectively. Moreover, it is shown that the benefits of adding hydro storage, combined with increasing the number of wind turbine units, reduces the cost of energy of renewables (COERenewables). Therefore, combining hydro storage with wind power is economically, environmentally, and technically a more efficient alternative to the conventional power generation.

scholarly journals The results of the competitiveness analysis of photovoltaic microgeneration systems in the Russian Federation

2019 ◽  
Vol 486 (5) ◽  
pp. 543-546
Author(s):  
T. S. Gabderakhmanova ◽  
O. S. Popel
Keyword(s):  
Energy Storage ◽  
Dynamic Modelling ◽  
Electrical Energy ◽  
Economic Feasibility ◽  
Government Support ◽  
Feasibility Assessment ◽  
Pv Systems ◽  
Cost Of Energy ◽  
Regulatory Standards ◽  
The Cost

The results of the economic feasibility assessment of photovoltaic (PV) microgeneration systems by the criterion of the cost of energy are presented. The assessment is based on dynamic modelling of three different configurations of grid-connected PV systems - without energy storage, with electrical energy storage and with thermal energy storage - performed for weather and electricity tariff conditions of several prospective Russian regions. Government support measures and regulatory standards currently developing in Russia for microgeneration technologies are taken into account. It is shown that under certain conditions PV microgeneration technologies could be economically feasible in some energy isolated areas and non-pricing zones of the wholesale electricity and capacity market of Russia, particularly in the Sakha Republic, whereas in pricing zones - couldn’t for any of the considered system configurations.

scholarly journals Reinforcement-Learning-Based Virtual Energy Storage System Operation Strategy for Wind Power Forecast Uncertainty Management

2020 ◽  
Vol 10 (18) ◽  
pp. 6420
Author(s):  
Eunsung Oh
Keyword(s):  
Reinforcement Learning ◽  
Energy Storage ◽  
Wind Power ◽  
Learning Strategy ◽  
Optimal Solution ◽  
Uncertainty Management ◽  
Operation Strategy ◽  
Forecast Uncertainty ◽  
State Action ◽  
Multiple Units

Uncertainties related to wind power generation (WPG) restrict its usage. Energy storage systems (ESSs) are key elements employed in managing this uncertainty. This study proposes a reinforcement learning (RL)-based virtual ESS (VESS) operation strategy for WPG forecast uncertainty management. The VESS logically shares a physical ESS to multiple units, while VESS operation reduces the cost barrier of the ESS. In this study, the VESS operation model is suggested considering not only its own operation but also the operation of other units, and the VESS operation problem is formulated as a decision-making problem. To solve this problem, a policy-learning strategy is proposed based on an expected state-action-reward-state-action (SARSA) approach that is robust to variations in uncertainty. Moreover, multi-dimensional clustering is performed according to the WPG forecast data of multiple units to enhance performance. Simulation results using real datasets recorded by the National Renewable Energy Laboratory project of U.S. demonstrate that the proposed strategy provides a near-optimal performance with a less than 2%-point gap with the optimal solution. In addition, the performance of the VESS operation is enhanced by multi-user diversity gain in comparison with individual ESS operation.

Saving Time and Money and Reducing Carbon Dioxide Emissions by Efficiently Allocating Customers

2020 ◽  
Vol 50 (3) ◽  
pp. 153-165
Author(s):  
Christian Haket ◽  
Bo van der Rhee ◽  
Jacques de Swart
Keyword(s):  
Carbon Dioxide ◽  
Service Provider ◽  
Carbon Dioxide Emissions ◽  
Service Providers ◽  
Optimal Solution ◽  
Visual Basic ◽  
Specific Knowledge ◽  
Software Packages ◽  
Reduce Carbon Dioxide ◽  
The Cost

In many industries, multifacility service providers can save time and money and reduce carbon dioxide (CO2) emissions by more efficiently allocating customers to their facilities. However, firms incur a reallocation cost when reassigning a customer to a different facility, something that has not received much attention in the literature. Software packages such as CPLEX can find the optimal solution for this type of problem, but managers rarely use them because they lack the specific knowledge, overestimate the cost, and/or underestimate the benefits. Including the reallocation costs, we modeled several common heuristics in Excel’s Visual Basic and compared the results with the optimal solution found by CPLEX. We collaborated with Van Dorp, a large service provider in the Netherlands, and found that (1) substantial savings can be achieved, (2) reallocation costs play a major role, and (3) the best heuristic achieves near-optimal results. Specifically, reallocating Van Dorp’s 20 “worst allocated” customers realizes a savings of more than 4,000 driving hours and €360,000 in cost and a reduction of 41 tons of CO2 emissions.

scholarly journals Sector coupling via hydrogen to lower the cost of energy system decarbonization

2021 ◽  
Author(s):  
Guannan He ◽  
Dharik S. Mallapragada ◽  
Abhishek Bose ◽  
Clara F. Heuberger-Austin ◽  
Emre Gençer
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Energy System ◽  
Electric Grid ◽  
Cost Of Energy ◽  
Long Duration ◽  
Storage Resource ◽  
The Cost

There is growing interest in using hydrogen (H2) as a long-duration energy storage resource in a future electric grid dominated by variable renewable energy (VRE) generation. Modelling H2 use exclusively...

scholarly journals ANALYSIS OF TECHNICAL AND ECONOMIC EFFICIENCY OF OPERATION OF THE WIND POWER PLANTS IN CRIMEA

2021 ◽  
pp. 31-41
Author(s):  
E. A. Bekirov ◽  
S. N. Voskresenskaya ◽  
V. V. Potenko
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Wind Turbines ◽  
Electricity Generation ◽  
Power Plants ◽  
Wind Farm ◽  
Net Income ◽  
Wind Power Plants ◽  
Cost Of Energy ◽  
The Cost

The article provides data on the generation and consumption of electricity by a wind farm. To maintain the operability of the wind farm, it is connected to the general grid of the power system, not only for the output of generated electricity, but also for the consumption of the necessary electricity to start the operation of wind turbines. Electricity generation, payback and net profit of a wind power plant of 12 wind turbines were estimated. Subject of study. Wind power plants and their efficiency. Materials and methods. The theoretical and methodological basis is the works of domestic and foreign scientists in the field of wind energy. In the work, analytical research methods were used, including predictive calculation of the annual energy production of wind turbines. Conclusions. The instability of electricity generation using renewable energy generating units is a serious problem that affects the cost of energy produced. According to the calculations, in 14 years, provided the electricity price is equal to 1.8 rubles, the power plant will recoup the investment and begin to generate net income. The correlation coefficient was determined, which was 0.94.

Design and Simulation for Microgrid System Based on Homer Software

2011 ◽  
Vol 361-363 ◽  
pp. 1874-1877
Author(s):  
Lan Zhu ◽  
Xiu Yang
Keyword(s):  
Solar Wind ◽  
Energy Storage ◽  
Diesel Engine ◽  
Power Plant ◽  
Wind Power ◽  
Wind Power Plant ◽  
Distributed Energy ◽  
Power Resources ◽  
The Cost ◽  
Simulation Parameters

Aiming at some microgrid system in Shanghai, economic simulations and analyses are done. A microgrid including solar, wind power, microturbines, diesel engine, energy storage and other distributed power resources is constructed based on homer software and simulation parameters are set to make an optimum proposal. Further studies such as running on the grid, changing the cost of distributed energy and operating in the PV / wind power plant mode are discussed.

Solar Photovoltaic Power for Residential Use

1979 ◽  
Author(s):  
B. Hammond
Keyword(s):  
Energy Storage ◽  
Solar Array ◽  
Fuel Prices ◽  
Utility Company ◽  
Roof Structure ◽  
Auxiliary Power ◽  
Residential Use ◽  
Utility Grid ◽  
Storage Problem ◽  
The Cost

As fossil fuel prices increase along with concern for the environment, interest in converting sunlight directly into electricity using photovoltaic solar cells continues to mount. And a common question is — when will photovoltaics be economical for residential use? Phoenix, Arizona, was chosen as the site to evaluate the economics of photovoltaic application to an energy conservative home (7109 kwh/yr). The analysis shows that a large summer load exists — which is what the utility company has been telling us for years. With such a load profile, optimum tilt angle of the solar array is 10 deg from the horizontal facing south (of interest in design of the roof structure). Peak power loads can be most economically handled with an auxiliary power source — either by power from the utility grid or from a gasoline generator. The auxiliary source would handle 18 percent of the load in June, 34 percent in July, and 24 percent in August. For the remainder of the year, power would be supplied 99 percent by the solar array. The need to handle peak loads with auxiliary power considerably reduces the solar energy storage problem in 1979. However, auxiliary power and energy storage in 1989 becomes a major part of the cost when grid power is not available. Cost per kwh for PV power in 1989 is projected at 2.8¢ when using utility grid backup and 11¢ when using generator backup.

Thermal Design and Analysis of a Solid-State Grid-Tied Thermal Energy Storage for Hybrid Compressed Air Energy Storage Systems

2018 ◽  
Author(s):  
Khashayar Hakamian ◽  
Kevin R. Anderson ◽  
Maryam Shafahi ◽  
Reza Baghaei Lakeh
Keyword(s):  
High Temperature ◽  
Energy Storage ◽  
Solid State ◽  
Flow Rate ◽  
Thermal Energy ◽  
Concrete Block ◽  
Compressed Air ◽  
Compressed Air Energy Storage ◽  
Cost Of Energy ◽  
The Cost

Power overgeneration by renewable sources combined with less dispatchabe conventional power plants introduce the power grid to a new challenge, i.e., instability. The stability of the power grid requires constant balance between generation and demand. A well-known solution to power overgeneration is grid-scale energy storage. Although different energy storage technologies have been tested and demonstrated, reducing the cost of energy storage remains as a challenging goal for researchers, industries, and governments. Compressed Air Energy Storage (CAES) has been utilized for grid-scale energy storage for a few decades. However, conventional diabatic CAES systems are difficult and expensive to construct and maintain due to their high pressure operating condition. Hybrid Compressed Air Energy Storage (HCAES) systems are introduced as a new variant of old CAES technology to reduce the cost of energy storage using compressed air. The HCAES system split the received power from the grid into two subsystems. A portion of the power is used to compress air, as done in conventional CAES systems. The rest of the electric power is converted to heat in a high-temperature Thermal Energy Storage (TES) component using Joule heating. In this study, a solid-state grid-tied TES system is designed to operate with a HCAES system. The storage medium is considered to be high-temperature refractory concrete. The thermal energy is generated inside the concrete block using resistive heaters (wires) that are buried inside a concrete block. A computational approach was adopted to investigate the performance of the proposed TES system during a full charge/storage/discharge cycle. It was shown that the proposed design can be used to receive 200 kW of power from the grid for 6 hours without overheating the resistive heaters. The discharge computations show that the proposed geometry of the TES, along with a control strategy for the flow rate can provide a 74-kW micro-turbine of the HCAES with the minimum required temperature, i.e., 1144K at 0.6 kg/s of air flow rate for 6 hours. The computations were performed in ANSYS/FLUENT and the results were verified and validated using a grid independence study.

scholarly journals Optimal Design and Energy Management for a Grid Connected Renewable Hybrid System (PV-HKT-GRID)

2020 ◽  
Vol 173 ◽  
pp. 02001
Author(s):  
Paul Arévalo ◽  
Darío Benavides ◽  
Juan L. Espinoza ◽  
Francisco Jurado
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Energy Management ◽  
Hybrid System ◽  
Cost Savings ◽  
Energy Technologies ◽  
Cost Of Energy ◽  
The Difference ◽  
Hybrid Grid ◽  
The Cost

The integration of renewable energy is transcendental for sustainable development. This article analyses a hybrid grid-connected system composed of renewable energy technologies (photovoltaichydrokinetic), where several scenarios for energy management are proposed. They include a battery system as energy storage and a system without storage but with resale fee to grid, with the aim of determining the best economic and environmental balance. The results show that, by having a (PV-HKT-GRID) system with energy storage and no resale fee to the grid, the Net Present Cost (NPC) is increased by USD $ 132, 760 and the Cost of Energy (COE) decreases $ 0.013/kWh when compared to the grid. In addition, the same hybrid system without energy storage and no resale fee to grid, presents an energy cost savings of $ 0.043/kWh, and an additional cost of USD $ 43, 630. Finally, if a grid resale rate is included in the renewable hybrid system, then the difference is noticeable, the savings in the Cost of Energy is $ 0.073/kWh and presents a saving in the NPC of USD $ 39, 930. In all cases, CO2 emissions have been avoided.

scholarly journals The potential impact of small-scale flywheel energy storage technology on Uganda’s energy sector

2009 ◽  
Vol 20 (1) ◽  
pp. 14-19 ◽  
Author(s):  
Richard Okou ◽  
Adoniya Ben Sebitosi ◽  
Azeem Khan ◽  
Pragasen Pillay
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Small Scale ◽  
Goods And Services ◽  
Industry Sector ◽  
Depth Of Discharge ◽  
Cost Of Energy ◽  
Battery Energy ◽  
The Cost ◽  
Home Systems

The energy crisis in Uganda has caused a sharp decline in the growth of the industry sector from 10.8% to 4.5% between 2004/5 and 2005/6. This crisis has escalated the power disruptions, which have had adverse effects on various sectors. While business owners have resorted to importation of fossil fuel generators that have increased the cost of production, others have resorted to battery energy storage systems to cater for short outages, which are limited in life span, depth of discharge, among others. These interventions have, thus, further in-creased the cost of goods and services. In addition, the rural populations using solar home systems incur high battery maintenance and replacement costs. In this paper an electromechanical flywheel battery is proposed as a better alternative in mitigating energy storage problems. It is found that by replacing the battery storage systems with the electromechanical flywheel battery, a saving of up to 35% on cost of energy can be made in the solar home systems and for the industry sector, the power disruptions could be reduced.

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